Predicting the outcome of events based on related internet activity
Particular embodiments of the present invention are directed to systems and methods for predicting the outcome of events based on internet activity associated with such events. For example, an internet activity metric associated with one or more events may be determined. The internet activity metric may be based at least on the popularity of particular search terms related to the events. The outcomes of the events may also be determined. The determined internet activity metrics and the outcomes of the one or more events may be analyzed to generate an algorithm for predicting the outcomes of subsequent events. For example, an internet activity metric associated with a particular subsequent event (e.g., based at least on the popularity of a particular search term related to the subsequent event) may be determined, and the algorithm may be applied to the internet activity metric to predict the outcome of the particular subsequent event.
1. A method for predicting the outcome of an event, comprising:
determining an internet activity metric regarding internet activity associated with a particular event for a time period;
determining one or more related internet activity metrics, each related internet activity metric regarding internet activity associated with a different related event;
receiving data regarding an outcome of each of the one or more different related events;
determining a mathematical correlation between the determined one or more related internet activity metrics and the outcome of the one or more different related events;
excluding outlier data from the received data, wherein the outlier data is data for each event whose determined correlation is below a threshold correlation;
electronically accessing an algorithm for predicting an outcome of the particular event based at least on the determined internet activity metric; and
electronically applying the algorithm to the internet activity metric to predict the outcome of the particular event.
2. A method according to claim 1 , further comprising:
generating the algorithm based at least on some of the determined one or more related internet activity metrics.
3. A method according to claim 1 , further comprising:
generating the algorithm based at least on some of (a) the determined one or more related internet activity metrics regarding the internet activity associated with the one or more different related events and (b) the received data regarding the outcomes of the one or more different related events.
4. A method according to claim 1 , comprising determining a Pearson correlation coefficient representing the correlation between the determined one or more related internet activity metrics and the outcome of the one or more different related events.
5. A method according to claim 1 , wherein determining an internet activity metric regarding internet activity associated with a particular event for a time period comprises determining an internet activity metric based at least on the popularity of a particular search term associated with the particular event.
6. A method according to claim 5 , wherein each related internet activity metric is regarding the usage of a different search term associated with a different related event, the method further comprising:
generating the algorithm based at least on some of the determined one or more related internet activity metrics.
7. A method according to claim 5 , wherein each related internet activity metric is regarding the usage of a different search term associated with a different related event, the method further comprising:
generating the algorithm based at least on some of (a) the determined one or more related internet activity metrics regarding the usage of the one or more different search terms associated with the one or more different related events and (b) the received data regarding the outcomes of the one or more different related events.
8. A method according to claim 5 , wherein each related internet activity metric is regarding the usage of the particular search term over a different time period, the method further comprising:
generating the algorithm based at least on some of the determined one or more related internet activity metrics.
9. A method according to claim 1 , wherein:
the particular event has associated financial revenues; and
electronically applying the algorithm to the internet activity metric to predict the outcome of the particular event comprises predicting the financial revenues for a particular event.
10. A method according to claim 9 , further comprising adjusting one or more aspects of the particular event based on the predicted financial revenues for the particular event.
11. An apparatus, comprising:
one or more processors;
one or more network interfaces;
a memory; and
computer-executable instructions carried on a computer readable medium, the instructions, when read and executed, for causing the one or more processors to:
determine an internet activity metric regarding internet activity associated with a particular event for a time period;
determine one or more related internet activity metrics, each related internet activity metric regarding internet activity associated with a different related event;
receive data regarding an outcome of each of the one or more different related events;
determine a mathematical correlation between the determined one or more related internet activity metrics and the outcome of the one or more different related events;
exclude outlier data from the received data, wherein the outlier data is data for each event whose determined correlation is below a threshold correlation;
access an algorithm for predicting an outcome of the particular event based at least on the determined internet activity metric; and
apply the algorithm to the internet activity metric to predict the outcome of the particular event.
12. An apparatus according to claim 11 , comprising computer-executable instructions for causing the one or more processors to
generate the algorithm based at least on some of (a) the determined one or more related internet activity metrics regarding the internet activity associated with the one or more different related events and (b) the received data regarding the outcomes of the one or more different related events.
13. An apparatus according to claim 11 , comprising computer-executable instructions for causing the one or more processors to determine a Pearson correlation coefficient representing the correlation between the determined one or more related internet activity metrics and the outcome of the one or more different related events.
14. An apparatus according to claim 11 , wherein determining an internet activity metric regarding internet activity associated with a particular event for a time period comprises determining an internet activity metric based at least on the popularity of a particular search term associated with the particular event.
15. An apparatus according to claim 14 , wherein each related internet activity metric is regarding the usage of a different search term associated with a different related event, the apparatus further comprising computer-executable instructions for causing the one or more processors to:
generate the algorithm based at least on some of (a) the determined one or more related internet activity metrics regarding the usage of the one or more different search terms associated with the one or more different related events and (b) the received data regarding the outcomes of the one or more different related events.
16. An apparatus according to claim 14 , wherein each related internet activity metric is regarding the usage of the particular search term over a different time period, the apparatus further comprising computer-executable instructions for causing the one or more processors to:
generate the algorithm based at least on some of the determined one or more related internet activity metrics.
17. An apparatus according to claim 11 , wherein:
the particular event has associated financial revenues; and
electronically applying the algorithm to the internet activity metric to predict the outcome of the particular event comprises predicting the financial revenues for a particular event.
18. An article of manufacture comprising:
a computer readable medium; and
computer-executable instructions carried on the computer readable medium, the instructions, when read and executed, for causing one or more processors to:
determine an internet activity metric regarding internet activity associated with a particular event for a time period;
determine one or more related internet activity metrics, each related internet activity metric regarding internet activity associated with a different related event;
receive data regarding an outcome of each of the one or more different related events;
determine a mathematical correlation between the determined one or more related internet activity metrics and the outcome of the one or more different related events;
exclude outlier data from the received data, wherein the outlier data is data for each event whose determined correlation is below a threshold correlation;
access an algorithm for predicting an outcome of the particular event based at least on the determined internet activity metric; and
apply the algorithm to the internet activity metric to predict the outcome of the particular event.
19. An article of manufacture according to claim 18 , wherein determining an internet activity metric regarding internet activity associated with a particular event for a time period comprises determining an internet activity metric based at least on the popularity of a particular search term associated with the particular event.